Economic Analysis and Power Management of a Small Autonomous Hybrid Power System (SAHPS) Using Biogeography Based Optimization (BBO) Algorithm

In this study, Biogeography Based Optimization (BBO) algorithm is developed for the prediction of the optimal sizing coefficient of Small Autonomous Hybrid Power System (SAHPS) in remote areas. BBO algorithm is used to evaluate optimal component sizing and operational strategy by minimizing the total cost of SAHPS, while guaranteeing the availability of energy. Due to the complexity of the SAHPS design with nonlinear integral planning, BBO algorithm is used to solve the problem. The developed BBO Algorithm has been applied to design the wind/PV/hydro hybrid energy systems to supply a colony located in the area of Jaipur, Rajasthan (India) during the period of January, 2010 to January 2011. It is clear from the results that the proposed BBO method has excellent convergence property, requires less computational time and can avoid the shortcoming of premature convergence of other optimization techniques to obtain a better solution.